Instructions to use OFT/MODEL_SD15_RockRaiderRuby_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OFT/MODEL_SD15_RockRaiderRuby_v01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OFT/MODEL_SD15_RockRaiderRuby_v01", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of the sunset" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f9d818b9c1efeea2fffd5632c67e59182fdca8ed2fd744bd5dc00183857500b9
- Size of remote file:
- 3.44 GB
- SHA256:
- afa96f3867b5da91669cfcd327b3f1e2df18514236c5a8c62633cb99118c7883
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